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Piecewise 1-Dim Self Organizing Map P1D-SOM
Published on Feb 25, 20073803 Views
Chapter list
Piecewise 1-Dim Self Organizing Map P1D-SOM00:05
AGENDA00:29
Introduction01:03
Principal Components Analysis01:42
Principal Components Analysis 0102:12
Curved Subspace02:41
Curved Subspace 0103:11
Motivation -103:17
Kernel PCA*03:29
Kohonen SOM04:09
Kohonen SOM 0104:56
…HOWEVER!05:20
Motivation-206:33
Previous Works!06:47
Randomized Structure07:11
Original SOM07:29
P1D-SOM Algorithm08:24
I. Learning Phase09:15
I. Learning Phase 0109:30
II. Recognition Phase10:29
Examplle11:33
Examplle 0112:53
EXAMPLE - ITraining Phase13:12
II- Recognition Phase13:14
II- Recognition Phase13:22
Database13:57
Feature Extraction Time (second) - SOM vs. P1D-SOM14:22
Feature Extraction Time (second) - FDCT vs. P1D-SOM15:26
Feature Extraction Time (second) - For one Image!16:06
Recognition Accuracy16:30
Conclusion17:31
Stochastic Analysis <br>for <br>Randomized SOM18:00
Randomized SOM*18:15
Randomized SOM 0118:50
Randomized SOM 0219:58
Stochastic Analysis for RSOM21:01
Monte Monte Carlo Markov Chain <br>MCMC(?)21:04
Any Comment or<br> Suggestion is<br> Welcome!21:12